Forecasting Software Survey
Page 23
| Product | Forecasting Methods Available (continued) | ||||
| Additional Capabilities | |||||
| Additional Capabilities: none | Spectral / Fourier Analysis | State Space Models | Other Additional Capabilities | Specify Additional Capabilities | |
| Analytic Solver Data Mining | y | Text mining (Stemming, TF-IDF, Latent Semantic Analysis); Sampling from Spark Big Data clusters; Missing Data Handling, Continuous and Categorical Data Transformations. | |||
| Analytica | y | ||||
| Autobox | |||||
| Azure ML Package for Forecasting | |||||
| DPL | y | ||||
| EViews | y | ||||
| Forecast Pro | y | Numerous other models including Event index models, Forecasting by analogy, trading day adjustments, weighting transformations, etc. | |||
| iqast forecast desktop & iqast forecast server | y | y | Time Series Clustering | ||
| Logility Voyager Solutions | y | ||||
| Optimal Scientist | y | Ability to handle regression equations with or without intercept and with or without constraints; ability to perform all-ways multiple regression; ability to transform experiment results; ability to calculate optimal parameters, t-statistics, F-statistics, estimated Y-values, residuals, standardized residuals, studentized residuals, PRESS residuals, ANOVA statistics, correlation coefficients, Durbin-Watson statistic, Mallow's Cp, correlation matrix, HAT matrix, confidence intervals | |||
| OxMetrics Enterprise | y | ||||
| RASON Data Mining | y | Text mining (Stemming, TF-IDF, Latent Semantic Analysis); Sampling from Spark Big Data clusters; Missing Data Handling, Continuous and Categorical Data Transformations. | |||
| RoadMap Global Planning Solution - 360 | |||||
| SAS Forecast Server | y | y | y | ARIMAX, Unobserved Component Models | |
| Smart Inventory Planning and Optimization | y | Inventory optimization, operational analyltics | |||
| SOLVENTURE LIFe - Leading indicator forecasting software | y | ||||
| Stata | y | y | |||
| Statgraphics | y | ||||
| Stratus | |||||
| Vanguard Forecast Server | y | y | Addressable market models, Promotion models, Event models, Monte Carlo simulation | ||
| XLMiner SDK | y | Text mining (Stemming, TF-IDF, Latent Semantic Analysis); Sampling from Spark Big Data clusters; Missing Data Handling, Continuous and Categorical Data Transformations. | |||
Forecasting Software Survey Pages:
Introduction | Page 1 | Page 2 | Page 3 | Page 4 | Page 5 | Page 6 | Page 7 | Page 8 | Page 9 | Page 10 | Page 11 | Page 12 | Page 13 | Page 14 | Page 15 | Page 16 | Page 17 | Page 18 | Page 19 | Page 20 | Page 21 | Page 22 | Page 23 | Page 24 | Page 25 | Page 26 | Page 27 | Vendor Directory | Accompanying Article